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DA-100: Analyzing Data with Microsoft Power BI
Learning Path 01: Get started with Microsoft data analytics
In this Learning Path, you'll learn how businesses need data analysis more than ever. In this learning path, you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise.
Modules:
- Discover data analysis
- Get started building with Power BI
Lab:
- None
Learning Path 02: Prepare data for analysis with Power B
In this Learning Path, you'll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You'll also learn to profile, clean, and load data into Power BI before you model your data.
Modules:
- Get data in Power BI
- Clean, transform, and load data in Power BI
Lab:
- Prepare data in Power BI Heading
Learning Path 03: Model data with Power BI
In this Learning Path, you'll learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need.
Modules:
- Model data with Power BI Desktop
- Create calculations with DAX in Power BI
Labs:
- Design a data model in Power BI Desktop
- Create DAX calculations in Power BI Desktop
- Advanced DAX calculations in Power BI Desktop
Learning Path 04: Build Power BI visuals and reports
In this Learning Path, you'll learn how to turn data into interactive, actionable insights with Power BI Desktop visuals and reports.
Modules:
- Create reports in Power BI Desktop
- Perform Advanced Analytics with Power BI Desktop
Labs:
- Design a report in Power BI Desktop
- Design a report in Power BI Desktop
- Perform data analysis in Power BI
Learning Path 05: Manage workspaces and datasets in Power BI
In this Learning Path, you'll learn how to publish Power BI reports to the Power BI service. You'll also learn how to create workspaces, manage related items, and data refreshes for up-to-date reports. Additionally, implement row-level security to restrict user access to relevant data without the need for multiple reports.
Modules:
- Deploy and manage Power BI service items
- Enforce row-level security in Power BI
Labs:
- Create a Power BI dashboard
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Successful Data Analysts start this role with experience of working with data in the cloud.
Specifically:
- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.
You can gain the prerequisites and a better understanding of working with data in Azure by completing the Microsoft Azure Data Fundamentals course before taking this course.